WS-Snapshot: An effective algorithm for wide-field and large-scale imaging

分类： 天文学 >> 天文学 提交时间： 2023-02-19

Yangfan Xie Feng Wang Hui Deng Ying Mei Ying-He Celeste Lu Gabriella Hodosan Vladislav Stolyarov Oleg Smirnov Xiaofeng Li Tim Cornwell

摘要： The Square Kilometre Array (SKA) is the largest radio interferometer under construction in the world. The high accuracy, wide-field and large size imaging significantly challenge the construction of the Science Data Processor (SDP) of SKA. We propose a hybrid imaging method based on improved W-Stacking and snapshots. The w range is reduced by fitting the snapshot $uv$ plane, thus effectively enhancing the performance of the improved W-Stacking algorithm. We present a detailed implementation of WS-Snapshot. With full-scale SKA1-LOW simulations, we present the imaging performance and imaging quality results for different parameter cases. The results show that the WS-Snapshot method enables more efficient distributed processing and significantly reduces the computational time overhead within an acceptable accuracy range, which would be crucial for subsequent SKA science studies.

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